Systems for real-time intelligent haptic correction to typing errors and methods thereof

A system comprising:

• a context identification model engine;
• an error characterization model engine;
• a haptic feedback engine;
• and
• at least one processor in communication with a non-transitory computer readable medium having software instructions stored thereon, wherein the at least one processor is configured to, upon execution of the software instructions, perform steps to:
• control the context identification model engine to:
• receive at least one input segment into a software application of a user computing device from a character input component of the user computing device;
• wherein the at least one input segment is to be communicated by the software application, via the user computing device to an electronic destination;
• and
• determine an electronic destination associated with the input segments;
• wherein the electronic destination comprises:
• i) an identifier of at least one individual,
• ii) an identifier of at least one organization, or
• iii) a combination thereof;
• control the error characterization model engine to:
• utilize a context identification model to predict a context parameter representing a context classification of the at least one input segment based at least in part on the software application and the electronic destination;
• determine one or more potential errors in the at least one input segment based at least in part on the context classification;
• and
• utilize an error characterization machine learning model to determine an error type classification and an error severity score associated with each potential error of the one or more potential errors;
• control the haptic feedback engine to:
• determine a haptic feedback pattern for each potential error of the one or more potential errors based at least in part on the error type classification and the error severity score of each potential error of the one or more potential errors;
• wherein the haptic feedback pattern defines at least one of:
• i) a haptic event duration,
• ii) a haptic event amplitude,
• iii) a haptic event pulse pattern, or
• iv) combinations thereof;
• determine a haptic event latency associated with a delay for triggering the haptic feedback pattern after each potential error based at least in part on the error type classification and the error severity score of each potential error of the one or more potential errors;
• and
• cause a vibration motor of the user computing device to produce the haptic feedback pattern after the haptic event latency for each potential error.